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Paper Citation Record · LEDGER

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory

As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2603.26182.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2603.26182 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T17:44:45.015983Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:30:16.612345Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e15034b-fae1-404f-86e6-31743a7c5117 · outbound

This paper cites By exploiting large-scale data and deep networks, these methods can achieve better rate– distortion (R–D) performance than traditional codecs.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory By exploiting large-scale data and deep networks, these methods can achieve better rate– distortion (R–D) performance than traditional codecs

Reference 1

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Observation 5bb33b3c-2390-45c1-a126-4cc7cf331d2c · outbound

This paper cites A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding–Part II: Attribute,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory A Versatile Point Cloud Compressor Using Universal Multiscale Conditional Coding–Part II: Attribute,

Reference 2

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:080e8cfb2f011586fa430bbe0b1deea8efdf4838339944b4c07008dbe7d8ac1c

Observation 0532dee6-e6ea-4805-8dfc-5ee9ec712ad2 · outbound

This paper cites SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds

Reference 3

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:903599b5ea796b2c3166c0c3a0e08fa119da69bec8ec5cf1398f71ca6e211ece

Observation df194df3-330b-4e63-aace-b87a5fb9ca81 · outbound

This paper cites TSC-PCAC: V oxel Transformer and Sparse Convolution-Based Point Cloud Attribute Compression for 3D Broadcasting,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory TSC-PCAC: V oxel Transformer and Sparse Convolution-Based Point Cloud Attribute Compression for 3D Broadcasting,

Reference 4

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:d50bec6a416e45487e00aee0431f4a800b3c4bfb9f2b740d844d0029bb52a889

Observation a95f3f31-89de-4e78-b4f6-ac6ccca5b0d1 · outbound

This paper cites YOGA: Yet another geometry- based point cloud compressor,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory YOGA: Yet another geometry- based point cloud compressor,

Reference 5

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:70590fc5dfaa2cd111c21c548052d8e78e58c42b1ed0dbc3ba896c19fe78dad3

Observation e46491ca-2e13-497d-88ca-7863016b21cd · outbound

This paper cites Rendering-Oriented 3D Point Cloud Attribute Compression Using Sparse Tensor-Based Transformer,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Rendering-Oriented 3D Point Cloud Attribute Compression Using Sparse Tensor-Based Transformer,

Reference 6

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:403cc0d239540db29b7b1118d8410b25c29d0a449d40a84bc51b040ca51a3409

Observation 996213d8-37f6-4c2c-be1d-2610c9c01cc6 · outbound

This paper cites Dynamic 3D Point Cloud Sequences as 2D Videos,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Dynamic 3D Point Cloud Sequences as 2D Videos,

Reference 7

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:edc400c14b88070bb4b93f76c9f516b50828872f68153015624b559f6941f78d

Observation 2a4896d9-0e66-49a7-be88-17c17e3942c3 · outbound

This paper cites [AI-GC][CfP-related] Improved Cross-Platform Reproducibility for AI-Based Point Cloud Compression,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory [AI-GC][CfP-related] Improved Cross-Platform Reproducibility for AI-Based Point Cloud Compression,

Reference 8

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:c7183659d508d20754dc51e8843819538e6062e90355c14f15370e7b771880aa

Observation b6b21219-1b74-44d8-9da6-d1dc26bf187c · outbound

This paper cites Towards repro- ducible learning-based compression,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Towards repro- ducible learning-based compression,

Reference 9

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:c57f89de9c46a341d1d07d68777f4b51da1ded0bc989c6a1b1264559ca30459b

Observation af34e930-df69-43ff-b05e-a4f8c8c20299 · outbound

This paper cites Deep geometry post-processing for decompressed point clouds,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Deep geometry post-processing for decompressed point clouds,

Reference 10

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:fd53cd62c8b4e8d0aaecae5139c73629451fd49e0082cc8a0e7e6f8c95d7266c

Observation 5386ffa4-12f2-48fa-99d8-65c3f8383ba5 · outbound

This paper cites G-pcc++: Enhanced geometry- based point cloud compression,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory G-pcc++: Enhanced geometry- based point cloud compression,

Reference 11

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:b6c97c8715aeb8a326c86184dffec607f9a898f660c7e386fb76411aec45a82e

Observation 6f84dcb7-f5c8-4d38-8c5e-b3c10d24f3aa · outbound

This paper cites Grnet: Geometry restoration for g-pcc compressed point clouds using auxiliary density signaling,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Grnet: Geometry restoration for g-pcc compressed point clouds using auxiliary density signaling,

Reference 12

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:8fbaadfbe7e32ba231d22bb127e3d16829c636077ca9aa9fc9b843b59397d0b4

Observation 7761352c-7fad-4b5c-8639-298588298e47 · outbound

This paper cites Attribute artifacts removal for geometry-based point cloud compression,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Attribute artifacts removal for geometry-based point cloud compression,

Reference 13

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:aba08c27aff34864f0193e4401db5ecdffd36d86497d977f9db613d4b98f1427

Observation 5cf79d26-2d16-40a3-9d74-2c093d3c325b · outbound

This paper cites GQE-Net: A graph- based quality enhancement network for point cloud color attribute,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory GQE-Net: A graph- based quality enhancement network for point cloud color attribute,

Reference 14

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:b6c0cfc71d31b8b7567042ad232b83af085042c04bc97a53409fcb75f3846c19

Observation 49accbc9-524d-4986-befb-4f47b13c99e1 · outbound

This paper cites Fast inter-frame motion prediction for compressed dynamic point cloud attribute enhancement,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Fast inter-frame motion prediction for compressed dynamic point cloud attribute enhancement,

Reference 15

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:42a59690ce3633a48ba6650273f45cee69f0277cded1ff15c4fcc0276a5c553b

Observation 50d58677-300e-4a6e-ab91-4f01d3f27765 · outbound

This paper cites CARNet:Compression Artifact Reduction for Point Cloud Attribute.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory CARNet:Compression Artifact Reduction for Point Cloud Attribute

Reference 16

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:46b69224c8f7932951dd4f0d3dc3d797d83ebb80302b7147c3653605bc8ebcc5

Observation f5261aa2-9939-4a08-b8e8-76250001b0a2 · outbound

This paper cites Occupancy-assisted attribute artifact reduction for video-based point cloud compression,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Occupancy-assisted attribute artifact reduction for video-based point cloud compression,

Reference 17

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Observation f249c089-de85-470f-8244-2cd2392cce6e · outbound

This paper cites A small-scale image U-Net-based color quality enhancement for dense point cloud,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory A small-scale image U-Net-based color quality enhancement for dense point cloud,

Reference 18

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:1e0a498b12104b5ff71d855237f4383bf244fa87cf6c33b72c12f24607268dd7

Observation 4ae567d4-ca1b-40e9-819d-7b4a173a2237 · outbound

This paper cites UGAE: Unified Geometry and Attribute Enhancement for G-PCC Compressed Point Clouds,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory UGAE: Unified Geometry and Attribute Enhancement for G-PCC Compressed Point Clouds,

Reference 19

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:bd5cb510a52cb5e0f8a002bd66c8b2f6cf28a1eed77b19e12d6b548e610c55fa

Observation 660b2d03-ca74-4a23-8e8b-fa9bcaf3182c · outbound

This paper cites Encoding auxiliary information to restore compressed point cloud geometry,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Encoding auxiliary information to restore compressed point cloud geometry,

Reference 20

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:aa49475a392a16c475f70bc62af04dbef56e43b1df0a93f1c294d53a42a7a824

Observation 07cee20f-8c20-43dd-8f86-0fcd24ff8659 · outbound

This paper cites PCE- GAN: A Generative Adversarial Network for Point Cloud Attribute Quality Enhancement Based on Optimal Transport,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory PCE- GAN: A Generative Adversarial Network for Point Cloud Attribute Quality Enhancement Based on Optimal Transport,

Reference 21

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:044ef295b5b7236e18ab3e955dde650bb0c0e43dce47f4344cdc3cc95425c237

Observation 50a86930-7606-42cb-bcec-bfb32aa9b64a · outbound

This paper cites GeoQE: Enhancing Quality of Experience in Point Cloud Streaming,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory GeoQE: Enhancing Quality of Experience in Point Cloud Streaming,

Reference 22

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:c6a125554d8908f11517ad1e868a90a2090c2d47b44f787b414b063d2551f983

Observation d313c0cc-a271-4e07-8771-9d916abd1df3 · outbound

This paper cites STQE: Spatial-Temporal Attribute Quality Enhancement for G-PCC Compressed Dynamic Point Clouds,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory STQE: Spatial-Temporal Attribute Quality Enhancement for G-PCC Compressed Dynamic Point Clouds,

Reference 23

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:1044b004cb026f9a8b0cdc53445ca79738315436ccbca5538b9bfa5d1367f872

Observation fcd3865d-e055-4f48-aa05-4343309567e6 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory 4d spatio-temporal convnets: Minkowski convolutional neural networks,

Reference 24

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:53ad66afd10741adedd9c79ec92db41d18643bb31dd756890a1f7edc1cfdfaed

Observation 56a68173-9bef-4876-bc6b-be97201e399b · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory U-net: Convolutional networks for biomedical image segmentation,

Reference 25

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:2ac78e28fc9cba1e898b0a2c5048f90e344da10786005657a53a76b8797dcdfd

Observation 3fdc37e9-2e25-4066-8256-98cc7c6279e7 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 26

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:713d265f8d8e3ebf568ea66e6b8dffff6a579f9417176fafdef2396312a36b37

Observation e0de321c-990a-49c7-adfd-cc8b1e190b28 · outbound

This paper cites Point cloud compression with implicit neural representations: A unified framework,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Point cloud compression with implicit neural representations: A unified framework,

Reference 27

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:c0bbc12ab1f4f9fa8bb6b23fe00f64c7898d8d1e29d855ac0b2e6706d109ff8f

Observation 8e5dfd19-fdb8-480a-a16e-4bb075dc1d75 · outbound

This paper cites PU-GAN: a point cloud upsampling adversarial network,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory PU-GAN: a point cloud upsampling adversarial network,

Reference 28

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:81e4412d6b61d7b8cfde88c71d6696bf6edc81d80e440351660b8153e42f165f

Observation cdb5adbe-7737-45b6-902f-6ce90c2f4ef9 · outbound

This paper cites PU-Refiner: A geometry refiner with adversarial learning for point cloud upsampling,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory PU-Refiner: A geometry refiner with adversarial learning for point cloud upsampling,

Reference 29

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:70eb44ec8a8cc657d2666335bb5f49a93bea95e7a0a59192c41936597587b252

Observation ddda989a-9a38-4cb3-b0e3-c95b15a774b0 · outbound

This paper cites PUFA-GAN: A frequency-aware generative adversarial network for 3D point cloud upsampling,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory PUFA-GAN: A frequency-aware generative adversarial network for 3D point cloud upsampling,

Reference 30

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:5d2ea154c791bab4e25d4058ab8e7553be62b5dac065f6219813d816b75f74f3

Observation 23c6fb20-a3ae-4b48-bfce-79fc9a8c37df · outbound

This paper cites PU-Mask: 3D Point Cloud Upsampling via an Implicit Virtual Mask,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory PU-Mask: 3D Point Cloud Upsampling via an Implicit Virtual Mask,

Reference 31

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:46c0416e8e075aa55b370543139838f5189b2dfdbabca6ea466819e6fb045cf7

Observation 8fb4845d-5410-456a-a2e7-c2192c9a9773 · outbound

This paper cites PU-GSM: A Latent Geometry-Guided Self-Similarity Model for Point Cloud Upsampling,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory PU-GSM: A Latent Geometry-Guided Self-Similarity Model for Point Cloud Upsampling,

Reference 32

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:c5683213a1fed51f64bb9302e69056bf20d03b4606101e44193eff048aa3b8cb

Observation 66abcfb1-a189-4263-84c6-3f4b392693e3 · outbound

This paper cites Pu-dense: Sparse tensor-based point cloud geometry upsampling,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Pu-dense: Sparse tensor-based point cloud geometry upsampling,

Reference 33

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:61c5b511f5f9b597b1a7075502890a2b94142788648ddad6fc0e9bb62803dec7

Observation 53565d6a-a29a-4437-897c-7877290e64c9 · outbound

This paper cites Learning to restore compressed point cloud attribute: A fully data-driven approach and a rules-unrolling- based optimization,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Learning to restore compressed point cloud attribute: A fully data-driven approach and a rules-unrolling- based optimization,

Reference 34

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source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:e24c58d9e106bb8427332a35d8b015befedd6ab1c1f93dacc9811bd519438ce3

Observation e423d688-2c05-4672-89d7-b2e8810f5306 · outbound

This paper cites ARNet: Attribute artifact reduction for G-PCC compressed point clouds,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory ARNet: Attribute artifact reduction for G-PCC compressed point clouds,

Reference 35

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Observation d1d6555a-f986-40b9-be38-b15a55aa7411 · outbound

This paper cites Dependence- Based Coarse-to-Fine Approach for Reducing Distortion Accumulation in G-PCC Attribute Compression,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Dependence- Based Coarse-to-Fine Approach for Reducing Distortion Accumulation in G-PCC Attribute Compression,

Reference 36

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arxiv_id, observed 2026-07-13T17:49:47.818854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:7f16df842b6c7b866ece2bd4d54434d033499ff043a84871cc261ddd1e964bb2

Observation 61b272c9-23e5-437a-b7e7-f904e386df0c · outbound

This paper cites High Efficiency Wiener Filter-Based Point Cloud Quality Enhancement for MPEG G- PCC,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory High Efficiency Wiener Filter-Based Point Cloud Quality Enhancement for MPEG G- PCC,

Reference 37

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verified exact
arxiv_id, observed 2026-07-13T17:49:47.811682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:d6cabbf3a3f8379dc261c95580d916d821c708519b65892b37c847dc45ad3854

Observation 655848f4-e91a-4e26-ba80-0cb874ec8066 · outbound

This paper cites Point transformer v3: Simpler faster stronger,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Point transformer v3: Simpler faster stronger,

Reference 38

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no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:585ac9a6553876d6e6dc9a9c40ce2324ccbed09140df9e6fa887699ebb406964

Observation 766987a5-519d-40ff-95dc-c54f8323dc53 · outbound

This paper cites D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction

Reference 39

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no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:cc32a8041a6e8ad90eb0a2e4732be1727d8c00e337d7a70f6e00028efae71aff

Observation 4fd86003-05da-46b3-aa0d-fba8572e3be6 · outbound

This paper cites Inter-frame compression for dynamic point cloud geometry coding,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Inter-frame compression for dynamic point cloud geometry coding,

Reference 40

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unresolved
no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:6c2adb32bf1bceb679d47267bdf9fc02e61aece1e4bf81a592a04c5035093e4b

Observation 0aa36f4a-b345-4c0f-b084-2816f5810f91 · outbound

This paper cites 8i V oxelized Full Bodies – A V oxelized Point Cloud Dataset,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory 8i V oxelized Full Bodies – A V oxelized Point Cloud Dataset,

Reference 41

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unresolved
no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:b5ff677fc06b1dc37e2ea7ef04f8895983c16f71123a661e8e7233eea591a611

Observation 92b229db-6da2-4507-927c-025907365b18 · outbound

This paper cites OWlii dynamic human mesh sequence dataset,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory OWlii dynamic human mesh sequence dataset,

Reference 42

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unresolved
no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:4a4c07c00888947e0649530ef483784ba0e9fdc54ae9c073a26040a389cf7ee1

Observation 4c760fcc-6d9d-4b09-8500-b58dbc0e5736 · outbound

This paper cites Microsoft V oxelized Upper Bodies – A V oxelized Point Cloud Dataset,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Microsoft V oxelized Upper Bodies – A V oxelized Point Cloud Dataset,

Reference 43

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unresolved
no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:93e939e14096f9ea6264ffa223b19db9f1f3897b21eb7bd2885366228d0b5d08

Observation 43ee3b52-6aca-441d-9949-6c406e439929 · outbound

This paper cites Common Test Conditions for G-PCC,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory Common Test Conditions for G-PCC,

Reference 44

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no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:46c509c834509bc18fabd2a55600e1600198dc6737902cae0ca15dd571b4f6cb

Observation 5b186375-980f-43c7-892e-a1f317397df2 · outbound

This paper cites On balancing attribute QPs for GeSTM,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory On balancing attribute QPs for GeSTM,

Reference 45

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no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:54c19e70fcdb01bc968a1864ee37e74e1162d3b632108a096494dc7a508a10db

Observation b98b46cc-1aaa-447c-943f-078276dd8e07 · outbound

This paper cites PCQM: A full- reference quality metric for colored 3D point clouds,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory PCQM: A full- reference quality metric for colored 3D point clouds,

Reference 46

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no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:b21b112325df3d65711b118a6feab31bddb0c8bae4d128e03171d49d6a4595e5

Observation a2bf9b1c-da24-414c-aea3-1212920f9ce1 · outbound

This paper cites The bjøntegaard bible why your way of comparing video codecs may be wrong,.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory The bjøntegaard bible why your way of comparing video codecs may be wrong,

Reference 47

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no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:d60361e83a40f29ae52c2ad6cc66561e461bae8655b4b9501e8e4c223308f776

Pith citing papers

Observation a02fed47-ef35-4ec5-86e0-9540b3bc2a4e · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory

Reference 73

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no resolver link, observed 2026-07-14T06:30:16.612345Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:30:16.612345Z digest=sha256:a69c1e509c6d9cb3b3e4333fc3c1f76fb4de25ae6d8248421e8a101554475e2f